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Representing and matching multi-object images with holes using concavity trees - by Bilal Hadi Fadlallah

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dc.contributor.author Fadlallah, Bilal Hadi
dc.date.accessioned 2012-06-13T07:14:17Z
dc.date.available 2012-06-13T07:14:17Z
dc.date.issued 2008
dc.identifier.uri http://hdl.handle.net/10938/7811
dc.description Thesis (M.E.)--American University of Beirut, Dept. of Electrical and Computer Engineering, 2008.;"Advisor : Dr. Mohamad Adnan Al-Aloui, Professor, Department of Electrical and Computer Engineering--Member of Committee : Dr. Karim Kabalan, Professor ,Depa
dc.description Bibliography : leaves 75-76
dc.description.abstract Concavity trees are data structures used to represent 2-D images based on their meta-concavities and convex hulls. They help compressing the size of bi-level im ages and are efficient in the process of image matching, a task required in many areas of patt
dc.format.extent xiv, 76 leaves : col. ill. 30 cm.
dc.language.iso eng
dc.relation.ispartof Theses, Dissertations, and Projects
dc.subject.classification ET:005083 AUBNO
dc.subject.lcsh Pattern perception
dc.subject.lcsh Image processing
dc.subject.lcsh Algorithms -- Data processing
dc.title Representing and matching multi-object images with holes using concavity trees - by Bilal Hadi Fadlallah
dc.type Thesis
dc.contributor.department American University of Beirut. Faculty of Engineering and Architecture. Department of Electrical and Computer Engineering


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